Unlocking Biomedical Insights: Interpretable AI via Knowledge Graphs
Published:Dec 24, 2025 04:42
•1 min read
•ArXiv
Analysis
This research explores a novel application of knowledge graphs in the field of biomedical research, potentially leading to improved interpretability of AI models. The use of perturbation modeling suggests a method to understand the causal relationships within biomedical data.
Key Takeaways
Reference
“The research focuses on interpretable perturbation modeling.”